2004Modern Electronic TechniqueRequires access

A Improved Cyclic Cross Correlation MUSIC Algorithm Direction of Arrival Estimation

Yu Li

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Abstract

The problem of estimating the direction of arrival for source signals utilizing the cyclostationarity property is discussed in the paper. First, an array signal model based on cyclic cross correlation is proposed. According to the above signal model, a direction of arrival estimation method for source signalsICCCMUSIC algorithm is developed. The results of a qualitative and computer simulation indicate that ICCCMUSIC algorithm shares the better performance in noise suppressing and signal selectivity, which provides an efficient approach for the direction of arrival estimation of cyclostationary source signals.

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What this paper is about

The problem of estimating the direction of arrival for source signals utilizing the cyclostationarity property is discussed in the paper. First, an array signal model based on cyclic cross correlation is proposed. According to the above signal model, a direction of arrival estimation method for source signalsICCCMUSIC algorithm is developed. The results of a qualitative and computer simulation indicate that ICCCMUSIC algorithm shares the better performance in noise suppressing and signal selectivity, which provides an efficient approach for the direction of arrival estimation of cyclostationary source signals.

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Available abstract

The problem of estimating the direction of arrival for source signals utilizing the cyclostationarity property is discussed in the paper. First, an array signal model based on cyclic cross correlation is proposed. According to the above signal model, a direction of arrival estimation method for source signalsICCCMUSIC algorithm is developed. The results of a qualitative and computer simulation indicate that ICCCMUSIC algorithm shares the better performance in noise suppressing and signal selectivity, which provides an efficient approach for the direction of arrival estimation of cyclostationary source signals.

Key concepts: Cyclostationary process, Computer science, Direction of arrival, Algorithm, SIGNAL (programming language), Cross-correlation, Angle of arrival, Multiple signal classification

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